Evidence map›Paper›PMID 41405010›Full record

ArticleGlobal change biology2025

An Integrated Modelling Framework to Determine Terrestrial Carbon Dioxide Removal via Enhanced Rock Weathering.

Ziyan Zhang, Gregory Jones, Salvatore Calabrese, Matteo Bertagni, Simone Fatichi, Bonnie Waring, Athanasios Paschalis

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Global change biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ziyan ZhangDepartment of Civil and Environmental Engineering, Imperial College London, London, UK.
Gregory JonesDepartment of Life Sciences, Imperial College London, Ascot, UK.ORCID 0000-0001-5896-4871
Salvatore CalabreseDepartment of Biological and Agricultural Engineering, Texas A&M University, College Station, Texas, USA.
Matteo BertagniDepartment of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Turin, Italy.
Simone FatichiDepartment of Civil and Environmental Engineering, National University of Singapore, Singapore, Singapore.
Bonnie WaringDepartment of Life Sciences, Imperial College London, Ascot, UK.ORCID 0000-0002-8457-5164
Athanasios PaschalisDepartment of Civil and Environmental Engineering, University of Cyprus, Nicosia, Cyprus.

Funding

Foundation for Food and Agriculture Research 22-000070Natural Environment Research Council NE/Y000471/1USDA National Institute of Food and Agriculture (Hatchproject 7010390) 7010390
6 · The paper itself

Abstract

Enhanced rock weathering (ERW) is an emerging carbon dioxide removal (CDR) strategy that can support net-zero emission targets. However, current ERW modelling efforts rely on assumptions that introduce substantial variation in CDR estimates across varying ecosystems and hydroclimatic conditions. They typically ignore or oversimplify plant-soil interactions and high-frequency hydrological dynamics, obscuring short-term weathering responses and biotic feedbacks to soil moisture dynamics. Here, we introduce an integrated, process-based modelling framework, T&C-SMEW, which represents ecohydrological and ERW dynamics, along with microbially explicit biogeochemical processes. We compared framework simulations against a controlled mesocosm experiment and long-term field observations, demonstrating its ability to reproduce feedstock cation release, soil pH dynamics, gross primary production, and CO

Indexed as

Carbon DioxideModels, TheoreticalSoilEcosystemWeatherCarbon DioxideSoilbiogeochemical modellingcarbon dioxide removalclimate change mitigationecohydrologyenhanced rock weatheringplant–soil interactionsreactive transport

Identifiers

PMID41405010
PMCPMC12710202

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.